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CamperBob2yesterday at 8:16 PM1 replyview on HN

Analogies with calculators have a big problem. The calculator has no intelligence of its own. A model does. (Yes, it does. You have to be either delusional or willfully ignorant to argue otherwise at this point. Take a calculator to the IMO and see how far you get.)

So there are, or at least there will be, cases where it's actually a good idea to delegate your thinking to an AI model. Students who aren't taught to acknowledge that possibility and keep it in mind are being done a disservice, just as if they were taught to treat today's limited, early-generation LLMs as a first resort.


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mikgpyesterday at 9:52 PM

I don’t understand the analogy you’re making, or maybe I think it’s wrong. This is the first time ive ever seen someone say you should outsource your thinking to an LLM, rather than say idea generation.

No one thinks you shouldn’t do 8 digit multiplication with a calculator, But you should understand what it’s doing under thr hood so if you say typo something you can catch when the answer is off by an order of magnitude.

But the same argument applies to AI. If you don’t understand the basics of an argument or the nature of the subject you’re investigating, you can’t tell - not even an if it’s working correctly but if it’s responding to the question you asked. If it applied the right context for your particular situation.

And I think it’s the exact same thing - whether AI is really thinking is irrelevant, students need to understand the nature of how to make arguments and validate information, before they can trust their own usage of AI.

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